---
title: Agent Using Multimodal Tool Response in Runs
---

This example demonstrates how to create an agent that uses DALL-E to generate images and maintains conversation history across multiple runs, allowing the agent to remember previous interactions and images generated.

## Code

```python agent_using_multimodal_tool_response_in_runs.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.tools.dalle import DalleTools

# Create an Agent with the DALL-E tool
agent = Agent(
    tools=[DalleTools()],
    name="DALL-E Image Generator",
    add_history_to_context=True,
    db=SqliteDb(db_file="tmp/test.db"),
)

agent.print_response(
    "Generate an image of a Siamese white furry cat sitting on a couch?",
    markdown=True,
)

agent.print_response(
    "Which type of animal and the breed are we talking about?", markdown=True
)
```

## Usage

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install libraries">
    ```bash
    pip install -U openai agno
    ```
  </Step>

  <Step title="Export your OpenAI API key">

    <CodeGroup>

    ```bash Mac/Linux
      export OPENAI_API_KEY="your_openai_api_key_here"
    ```

    ```bash Windows
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
    ```
    </CodeGroup> 
  </Step>

  <Step title="Create a Python file">
    Create a Python file and add the above code.
    ```bash
    touch agent_using_multimodal_tool_response_in_runs.py
    ```
  </Step>

  <Step title="Run Agent">

    <CodeGroup>

    ```bash Mac
    python agent_using_multimodal_tool_response_in_runs.py
    ```

    ```bash Windows
    python agent_using_multimodal_tool_response_in_runs.py
    ```

    </CodeGroup>

  </Step>

  <Step title="Find All Cookbooks">
  Explore all the available cookbooks in the Agno repository. Click the link below to view the code on GitHub:

  <Link href="https://github.com/agno-agi/agno/tree/main/cookbook/agents/multimodal" target="_blank">
    Agno Cookbooks on GitHub
  </Link>
</Step>
</Steps>